Research on Algorithm Complexity of Spatial Structure of Urban Economic Logistics Specialty

In order to study the spatial structure characteristics and optimal layout of regional air logistics networks, a quantitative analysis system for the spatial structure of directed multivalued networks is constructed based on relational data using the social network analysis (SNA) method. Core-edge s...

Full description

Saved in:
Bibliographic Details
Published in:Scientific programming Vol. 2022; pp. 1 - 10
Main Authors: Ding, YiLing, Wang, HeYong, Sun, Ning, Wu, JiaXin, Wang, HongWei
Format: Journal Article
Language:English
Published: New York Hindawi 2022
John Wiley & Sons, Inc
Subjects:
Algorithms
Cities
Complexity
Economics
Gravity
Linkages
Logistics
Network analysis
Regions
Social networks
Subgroups
Yangtze River Delta
China
Yangtze River
ISSN:1058-9244, 1875-919X
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In order to study the spatial structure characteristics and optimal layout of regional air logistics networks, a quantitative analysis system for the spatial structure of directed multivalued networks is constructed based on relational data using the social network analysis (SNA) method. Core-edge structure, cohesive subgroups, Burt’s structure hole, and topological analysis models were used. Characteristics of logistics spatial linkages of cities in the Yangtze River Economic Zone, the identification of logistics centre cities, and the construction of hub-and-spoke networks are explored, and the driving forces for the formation of logistics spatial linkage patterns are analysed using the Durbin model. The complexity of the designed model algorithm is investigated, and it is found that the comprehensive logistics capacity of the Yangtze River Economic Belt region is increasing year by year, and the strength of interregional linkages is also growing, showing a spatially divergent trend of “strong in the east and weak in the west”; the multicore network linkage pattern is obvious, and the structure of the spatial linkage network is gradually becoming more complex.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1058-9244
1875-919X
DOI:10.1155/2022/6930034